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Progressive Web App (PWA) Developer - AI Trainer

DataAnnotation

full-remotemidcontractfullstackother New York, United States Today via LinkedIn
Up to 72,000 USD/annual

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Tags

AI TrainingAndroid DevelopmentKotlinTypeScriptJavaScriptPythonReactCode ReviewTechnical WritingRemote Work

About the role

Role overview

As a Progressive Web App (PWA) Developer – AI Trainer, you’ll help design and evaluate coding work used to train AI systems. The role emphasizes Android development and includes writing clear code and explanations that directly improve model performance.

Responsibilities

  • Design and solve diverse coding problems used to train AI systems, with an emphasis on Android development
  • Write clear, high-quality code snippets and detailed explanations
  • Evaluate AI-generated code for accuracy, performance, and clarity
  • Provide feedback that shapes the next generation of AI models

Requirements

  • Fluent English (native or bilingual)
  • Excellent writing and grammar skills
  • Bachelor’s degree (completed or in progress)
  • Experience as a Software Developer/Coder/Software Engineer/Programmer is preferred

Preferred qualifications

  • Kotlin experience
  • Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift

Work model & hiring process

  • Fully remote with a flexible schedule (choose projects and when you work)
  • After signing up, complete a short paid assessment-style step; if you pass, you receive confirmation and access to paid work on the platform

Compensation

  • Hourly pay up to $60 USD/hour (projects paid hourly)
  • Higher-paying projects may be available based on performance
  • Payments are made via PayPal

Location eligibility

  • Work is available only to people in the US, Canada, UK, Ireland, Australia, and New Zealand

About DataAnnotation

DataAnnotation is a tech platform that enables a large community of engineers to contribute to the development and training of AI systems. The company combines flexible, project-based work with real-world impact in AI model improvement across multiple engineering disciplines.

Scraped 4/4/2026

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